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The Simply Good Foods Stock Price Chart

  • The current trend is moderately bullish and SMPL is experiencing buying pressure, which is a positive indicator for future bullish movement.

The Simply Good Foods Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 35.87 Buy
20-day SMA: 35.97 Buy
50-day SMA: 35.33 Buy
200-day SMA: 35.59 Buy
8-day EMA: 36.03 Buy
20-day EMA: 35.96 Buy
50-day EMA: 35.89 Buy
200-day EMA: 36 Buy

The Simply Good Foods Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.1 Buy
Relative Strength Index (14 RSI): 55.66 Buy
Chaikin Money Flow: 464528 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (35.52 - 37) Buy
Bollinger Bands (100): (34.57 - 38.03) Buy

The Simply Good Foods Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for The Simply Good Foods Stock

Is The Simply Good Foods Stock a Buy?

SMPL Technical Analysis vs Fundamental Analysis

Buy
61
The Simply Good Foods (SMPL) is a Buy

Is The Simply Good Foods a Buy or a Sell?

The Simply Good Foods Stock Info

Market Cap:
3.7B
Price in USD:
36.58
Share Volume:
507.4K

The Simply Good Foods 52-Week Range

52-Week High:
40.53
52-Week Low:
31.25
Buy
61
The Simply Good Foods (SMPL) is a Buy

The Simply Good Foods Share Price Forecast

Is The Simply Good Foods Stock a Buy?

Fundamental Analysis of The Simply Good Foods

Is The Simply Good Foods a good investment?

  • Analysts estimate an earnings increase this quarter of $0.03 per share, an increase next quarter of $0.09 per share, an increase this year of $0.12 per share, and an increase next year of $0.17 per share.

Technical Analysis of The Simply Good Foods

Should I short The Simply Good Foods stock?

* The Simply Good Foods stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.